From Scikit-Learn and Scikit-Image to domain science
Date : Tuesday, Nov. 18 2014, 1:30pm
Location : Telecom ParisTech, amphi Saphir, 46 rue Barrault, 75013 Paris
Registration is free but mandatory. Please do it on this page (open till Nov. 11).
You work on domain science (biology, physics, chemistry, life science, etc.) and you deal with data analysis challenges? Or you are a machine learning expert curious to discover and learn the tools CDS partners contribute to build?
What you will learn:
– machine learning using Scikit-Learn http://scikit-learn.org
– image processing using Scikit-Image http://scikit-image.org
– how these tools allow to solve problems in domain sciences
– how these packages are developed by people in the CDS
– best practices for successful academic software development
It will also be a great opportunity to increase your network within the Paris-Saclay environment, discover the data challenges from other disciplines and start new collaborations.
Session 1: Intro to the tools
13:30 : Scikit-Learn, Olivier Grisel, Software Engineer at Inria
14:15 : Scikit-Image, Emmanuelle Gouillard, Researcher at CNRS / St. Gobain Research
15:00 : Coffee Break
Session 2: On their use for domain science
15:20 : NiLearn, Gael Varoquaux, Researcher at Inria
15:40 : Mining brain waves with MNE, Alex Gramfort, Researcher at Telecom ParisTech
16:00 : Scikit-Learn in Particle Physics, Gilles Louppe, Post-doc at CERN
Wrap it up
16:20 : From flop to success in academic software development, Gael Varoquaux, Researcher at Inria
17:00 : Informal discussion with food and drinks.